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IS41570

Academic Year 2024/2025

Interactive Dashboards;Python (IS41570)

Subject:
Information Studies
College:
Social Sciences & Law
School:
Information & Comms Studies
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Dr Arjumand Younus
Trimester:
Spring
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Effective information systems have at their core information processes that facilitate decision-making with data, and one modern-day tool for such facilitation comes through interactive dashboards. Building up from Python-based data visualization tools such as area plots, histograms, bar charts, pie charts, scatter plots, and word clouds we will move to add interactivity via dashboards. Various dataset case-studies will help facilitate a systematic understanding of getting actionable insights from data.

About this Module

Learning Outcomes:

• Acquire ability to play around with data for better decision-making processes
• Learn to present information in a concise manner to both technical and non-technical audiences
• Gain expertise with various Python data visualization libraries such as Matplotlib, Seaborn, Dash, Plotly.
• Explore dashboards as a tool to understand data better, and make more effective and informed decisions.

Student Effort Hours:
Student Effort Type Hours
Lectures

0
Total

0

Approaches to Teaching and Learning:
Active/task-based learning;
Peer and group work;
Lectures;
Lab/studio work;
Enquiry & problem-based learning;
Case-based learning

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Practical Skills Assessment: Assignments based on data dashboards tools covered in class and mainly involving the use of creative aspects of various tools such Week 5, Week 10 Graded Yes
40
 Yes
Individual Project: A project with a complete dashboard application with your own dataset, problem statement and interactive components showing how dashboards help playing around with data. Week 15 Graded Yes
60
 Yes

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Mon 13:00 - 14:50
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